Modelling and recognition of human faces are interrelated disciplines. The challenge in developing a facial model is not only to have a model that looks realistic but one which also can be efficiently utilized for the specific purpose for which the geometry is created. For recognition purposes, the processing of 3D facial data is an essential step, because these images may have outliers, or noise, and could be in any arbitrary orientation. Hence, by processing these images certain facial characteristics could be identified. In this seminar, both modelling and processing of 3D Facial models will be discussed in the context of face recognition, in an attempt to address some of the Face recognition inherent problems.